Description: opencv与opengl结合使用的程序，对于增强现实很有帮助-opencv opengl used in conjunction with the procedures useful for augmented reality Platform: |
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Author:georgeou |
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Description: This short program shows how a live video stream from a web cam (or from a video file) can be rendered in OpenGL as a texture. The live video stream is captured using the Open Source Computer Vision library (OpenCV). The program also shows how an OpenCV image can be converted into OpenGL texture. This code can be used as the first step in the development of an Augmented Reality application using OpenCV and OpenGL. Platform: |
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Author:tareky |
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Description: opencv最新书籍《Master OpenCV with Practical Computer Vision Projects》。基于opencv2.4.3编写。采用了实例工程方式讲解。-opencv book:
Chapters:
Ch1) Cartoonifier and Skin Changer for Android, by Shervin Emami.
Ch2) Marker-based Augmented Reality on iPhone or iPad, by Khvedchenia Ievgen.
Ch3) Marker-less Augmented Reality, by Khvedchenia Ievgen.
Ch4) Exploring Structure from Motion using OpenCV, by Roy Shilkrot.
Ch5) Number Plate Recognition using SVM and Neural Networks, by David Escrivá.
Ch6) Non-rigid Face Tracking, by Jason Saragih.
Ch7) 3D Head Pose Estimation using AAM and POSIT, by Daniel Lélis Baggio.
Ch8) Face Recognition using Eigenfaces or Fisherfaces, by Shervin Emami.
Ch9) Developing Fluid Wall using the Microsoft Kinect, by Naureen Mahmood.
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Author:王邦平 |
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Description: 创建一个标准的基于OpenCV（桌面）的实时项目，以及如何执行标记的增强的一种新方法现实中，使用实际的环境作为输入，而不是打印的方形标记。-create a standard real-time project using
OpenCV (for desktop), and how to perform a new method of marker-less augmented
reality, using the actual environment as the input instead of printed square markers. Platform: |
Size: 1232896 |
Author:黄飞 |
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Description: 擴增實境技術是在真實視訊影像中加入虛擬物件，並透過追蹤與定位技術，可以與人們產生良好之互動效果。在視覺追蹤應用領域裡，可分為標記與無標記兩類應用。標記識別技術較為成熟，目前擴增實境開發平台以採用標記識別為主；至於無標記則侷限在特定方法之識別追蹤應用領域，例如樂高玩具利用包裝盒上之印刷圖片當作辨識物件。面對無標記擴增實境之應用日趨重要，且必須因應不同物件採用不同特徵之識別追蹤方法來達成無標記擴增實境之應用。而目前擴增實境平台並不提供模組化方式來替換識別追蹤方法，因此本文提出無標記擴增實境實驗平台，以現有擴增實境套件ARtoolKit為基礎，整合OpenCV與OpenGL函式庫，並採用模組化方式來設計視覺追蹤方法，做為驗證無標記擴增實境識別追蹤方法之平台，且透過視窗操作選擇不同視覺追蹤模組來呈現各式追蹤方法，以利分析驗證追蹤效能。-The technique of augmented reality (AR) is to augment 3D virtual objects into real images. Individual can interact with 3D virtual objects using tracking and registration methods. Visual tracking is the most popular tracking approach used in AR system, and markers are simply and generally used for identification and tracking. Moreover, natural feature or marker-less identification and tracking is getting more and more important and can be widely used in numerous applications. Therefore, many natural feature extraction and object tracking schemes are developed to efficiently identify and track natural objects. However, few of platforms are designed to verify different tracking algorithms for AR system. In this thesis, a novel tracking verification platform for AR environment, ARStudio, is proposed. ARStudio is on the basis of ARToolKit, and integrates the library of OpenCV and OpenGL. Furthermore, we modularize each component such as image capture, image transform, visual tracking, imag Platform: |
Size: 11484160 |
Author:鍾德煥 |
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Description: 影像視覺追蹤與定位技術可用於擴增實境之應用，依使用標記與否，可分為標記與無標記兩類技術。標記識別技術較為簡單，且較為成熟，但受限於需使用特殊之標記。無標記識別技術使用一般自然物件來取代特殊標記，應用較為彈性，但必須能正確擷取出欲辨識物件有用之特徵點。現有擴增實境之開發函式庫或開發平台，主要目的為提供擴增實境之應用開發，不提供無標記擴增實境技術研究方法之驗證。故本文深入研究探討如何整合ARToolKit、OpenCV與OpenGL等函式庫，設計無標記擴增實境整合平台。且此平台各項功能採用模組化設計，以更彈性提供適用於無標記擴增實境物件辨識與追蹤相關方法之驗證。另外，本文並探討自然物件複雜度與移動速度對辨識與追蹤之影響，分析適用於擴增實境自然物件之特徵值，做為後續提出克服因低複雜度自然物件以及高速移動導致追蹤失敗之缺失，藉以同時驗證平台之適用性。本文之研究結果，可做為實現開發無標記擴增實境實驗平台之重要參考依據。-Visual image tracking and positioning technology can be used to amplify the reality of the application, according to the use of tags or not, it can be divided into two types of markers and unmarked technology. Mark recognition technology is more simple and more mature, but is limited to a particular need to use the mark. No mark recognition technology uses a natural thing to replace special mark, application of the more flexible, but I want to be able to correctly capture the suspicious object useful feature points. Augmented Reality existing library of development or development platform, the main purpose of providing augmented reality application development, do not provide amplification verify unmarked reality technology Research Methodology. Therefore, this paper discusses how to integrate in-depth study and other ARToolKit, OpenCV and OpenGL libraries, design unmarked Augmented Reality integration platform. This platform functions and modular design, in order to provide a more fle Platform: |
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Author:鍾德煥 |
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Description: 画增强现实的物体，提取特征，跟踪特征点，画出物体的位置。效果还可以。用的是vs和opencv还有opengl-Draw augmented reality, extract features, track the feature points, and draw the object s position. Effect can also. Using the VS and opencv and OpenGL Platform: |
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Author:宗利敏 |
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Description: 该项目利用了opencv和openGL实现了简单的增强现实的功能。(The project makes use of OpenCV and OpenGL to implement simple augmented reality capabilities.) Platform: |
Size: 35673088 |
Author:毛毛虫555
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Description: Augmented least-square algorithm in matlab, easy to learn, annotation, completely can be well understood algorithm, Platform: |
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Author:inbtiavly
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Description: 本书介绍Python的计算机视觉编程，用清晰的Python示例，细致讲解对象识别、3D重建、立体图像、增强现实及其他计算机视觉应用技巧，给出了分析图像的工具与方法。内容：机器人导航、医学图像分析；图像映射与变换；多图像的3D重建；用聚类方法基于相似性和内容组织图像；基于视觉内容的图像检索技巧；实现图像内容分类和对象识别的算法；通过Python接口访问常用的OpenCV库。(This book introduces Python's computer vision programming. With clear Python examples, it elaborates on object recognition, 3D reconstruction, stereo image, augmented reality and other computer vision application techniques, and gives tools and methods for image analysis. Contents: Robot navigation, medical image analysis; image mapping and transformation; multi-image 3D reconstruction; image organization based on similarity and content using clustering method; image retrieval techniques based on visual content; algorithm for image content classification and object recognition; access to common OpenCV library through Python interface.) Platform: |
Size: 5047296 |
Author:qhxinshou |
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